On Multi-step Extended Maximum Residual Kaczmarz Method for Solving Large Inconsistent Linear Systems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00025-024-02210-7.pdf
Reference22 articles.
1. Bai, Z.-Z., Wang, L.: On multi-step randomized extended Kaczmarz method for solving large sparse inconsistent linear systems. Appl. Numer. Math. 192, 197–213 (2023)
2. Bai, Z.-Z., Wu, W.-T.: On greedy randomized Kaczmarz method for solving large sparse linear systems. SIAM J. Sci. Comput. 40(1), A592–A606 (2018)
3. Bai, Z.-Z., Wu, W.-T.: On partially randomized extended Kaczmarz method for solving large sparse overdetermined inconsistent linear systems. Linear Algebra Appl. 578, 225–250 (2019)
4. Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Prob. 20(1), 103–120 (2004)
5. Du, K.: Tight upper bounds for the convergence of the randomized extended Kaczmarz and Gauss–Seidel algorithms. Numer. Linear Algebra Appl. 26(3), e2233 (2019)
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